Authors
Philip J Johnson, Sarah J Pirrie, Trevor F Cox, Sarah Berhane, Mabel Teng, Daniel Palmer, Janet Morse, Diana Hull, Gillian Patman, Chiaki Kagebayashi, Syed Hussain, Janine Graham, Helen Reeves, Shinji Satomura
Publication date
2014/1/1
Journal
Cancer Epidemiology, Biomarkers & Prevention
Volume
23
Issue
1
Pages
144-153
Publisher
American Association for Cancer Research
Description
Background: Hepatocellular carcinoma is a common complication of chronic liver disease (CLD), and is conventionally diagnosed by radiological means. We aimed to build a statistical model that could determine the risk of hepatocellular carcinoma in individual patients with CLD using objective measures, particularly serological tumor markers.
Methods: A total of 670 patients with either CLD alone or hepatocellular carcinoma were recruited from a single UK center into a case–control study. Sera were collected prospectively and specifically for this study. A logistic regression analysis was used to determine independent factors associated with hepatocellular carcinoma and a model built and assessed in terms of sensitivity, specificity, and proportion of correct diagnoses.
Results: The final model involving gender, age, AFP-L3, α fetoprotein (AFP), and des-carboxy-prothrombin …
Scholar articles
PJ Johnson, SJ Pirrie, TF Cox, S Berhane, M Teng… - Cancer Epidemiology, Biomarkers & Prevention, 2014